change to cli_proc

1 files changed, 0 insertions, 146 deletions

diff --git a/megapixels/commands/cv/face_landmark_2d_5.py b/megapixels/commands/cv/face_landmark_2d_5.py
deleted file mode 100644
index 40ec6f41..00000000
--- a/megapixels/commands/cv/face_landmark_2d_5.py
+++ /dev/null
@@ -1,146 +0,0 @@
-"""
-
-"""
-
-import click
-
-from app.settings import types
-from app.utils import click_utils
-from app.settings import app_cfg as cfg
-
-color_filters = {'color': 1, 'gray': 2, 'all': 3}
-
-@click.command()
-@click.option('-i', '--input', 'opt_fp_in', default=None,
-  help='Override enum input filename CSV')
-@click.option('-o', '--output', 'opt_fp_out', default=None,
-  help='Override enum output filename CSV')
-@click.option('-m', '--media', 'opt_dir_media', default=None,
-  help='Override enum media directory')
-@click.option('--store', 'opt_data_store',
-  type=cfg.DataStoreVar,
-  default=click_utils.get_default(types.DataStore.HDD),
-  show_default=True,
-  help=click_utils.show_help(types.Dataset))
-@click.option('--dataset', 'opt_dataset',
-  type=cfg.DatasetVar,
-  required=True,
-  show_default=True,
-  help=click_utils.show_help(types.Dataset))
-@click.option('-d', '--detector', 'opt_detector_type',
-  type=cfg.FaceLandmark2D_5Var,
-  default=click_utils.get_default(types.FaceLandmark2D_5.DLIB),
-  help=click_utils.show_help(types.FaceLandmark2D_5))
-@click.option('--size', 'opt_size', 
-  type=(int, int), default=(300, 300),
-  help='Output image size')
-@click.option('--slice', 'opt_slice', type=(int, int), default=(None, None),
-  help='Slice list of files')
-@click.option('-f', '--force', 'opt_force', is_flag=True,
-  help='Force overwrite file')
-@click.option('-d', '--display', 'opt_display', is_flag=True,
-  help='Display image for debugging')
-@click.pass_context
-def cli(ctx, opt_fp_in, opt_fp_out, opt_dir_media, opt_data_store, opt_dataset, opt_detector_type,
-  opt_size, opt_slice, opt_force, opt_display):
-  """Creates 2D 5-point landmarks"""
-  
-  import sys
-  import os
-  from os.path import join
-  from pathlib import Path
-  from glob import glob
-  
-  from tqdm import tqdm
-  import numpy as np
-  import cv2 as cv
-  import pandas as pd
-
-  from app.utils import logger_utils, file_utils, im_utils, display_utils, draw_utils
-  from app.processors import face_landmarks
-  from app.models.data_store import DataStore
-  from app.models.bbox import BBox
-
-  # -------------------------------------------------
-  # init here
-
-  log = logger_utils.Logger.getLogger()
-  # init filepaths
-  data_store = DataStore(opt_data_store, opt_dataset)
-  # set file output path
-  metadata_type = types.Metadata.FACE_LANDMARK_2D_5
-  fp_out = data_store.metadata(metadata_type) if opt_fp_out is None else opt_fp_out
-  if not opt_force and Path(fp_out).exists():
-    log.error('File exists. Use "-f / --force" to overwite')
-    return
-
-  # init face landmark processors
-  if opt_detector_type == types.FaceLandmark2D_5.DLIB:
-    # use dlib 68 point detector
-    landmark_detector = face_landmarks.Dlib2D_5()
-  elif opt_detector_type == types.FaceLandmark2D_5.MTCNN:
-    # use dlib 5 point detector
-    landmark_detector = face_landmarks.MTCNN2D_5()
-  else:
-    log.error('{} not yet implemented'.format(opt_detector_type.name))
-    return
-
-  log.info(f'Using landmark detector: {opt_detector_type.name}')  
-
-  # load filepath data
-  fp_record = data_store.metadata(types.Metadata.FILE_RECORD)
-  df_record = pd.read_csv(fp_record).set_index('index')
-  # load ROI data
-  fp_roi = data_store.metadata(types.Metadata.FACE_ROI)
-  df_roi = pd.read_csv(fp_roi).set_index('index')
-  # slice if you want
-  if opt_slice:
-    df_roi = df_roi[opt_slice[0]:opt_slice[1]]
-  # group by image index (speedup if multiple faces per image)
-  df_img_groups = df_roi.groupby('record_index')
-  log.debug('processing {:,} groups'.format(len(df_img_groups)))
-
-  # store landmarks in list
-  results = []
-
-  # iterate groups with file/record index as key
-  for record_index, df_img_group in tqdm(df_img_groups):
-    
-    # acces file record
-    ds_record = df_record.iloc[record_index]
-    
-    # load image
-    fp_im = data_store.face(ds_record.subdir, ds_record.fn, ds_record.ext)
-    im = cv.imread(fp_im)
-    im_resized = im_utils.resize(im, width=opt_size[0], height=opt_size[1])
-
-    # iterate image group dataframe with roi index as key
-    for roi_index, df_img in df_img_group.iterrows():
-      
-      # get bbox
-      x, y, w, h = df_img.x, df_img.y, df_img.w, df_img.h
-      dim = im_resized.shape[:2][::-1]
-      bbox = BBox.from_xywh(x, y, w, h).to_dim(dim)
-
-      # get landmark points
-      points = landmark_detector.landmarks(im_resized, bbox)
-      points_norm = landmark_detector.normalize(points, dim)
-      points_flat = landmark_detector.flatten(points_norm)
-
-      # display to screen if optioned
-      if opt_display:
-        draw_utils.draw_landmarks2D(im_resized, points)
-        draw_utils.draw_bbox(im_resized, bbox)
-        cv.imshow('', im_resized)
-        display_utils.handle_keyboard()
-
-      results.append(points_flat)
-
-  # create DataFrame and save to CSV
-  file_utils.mkdirs(fp_out)
-  df = pd.DataFrame.from_dict(results)
-  df.index.name = 'index'
-  df.to_csv(fp_out)
-  
-  # save script
-  file_utils.write_text(' '.join(sys.argv), '{}.sh'.format(fp_out))
\ No newline at end of file